Title: Parameter Identification as the Basis for Prognoses in GeotechnicalEngineering: From Soft-computing to Rockfall Protection of Gravel-buried Pipelines
Publisher: VDM Verlag
Publication Date: 2008
Language: English
ISBN 10: 3836480107
ISBN 13: 9783836480109
Binding: Soft cover
Condition: New

About this title

Synopsis

Prognoses in geotechnical engineering require both adequate material models and identification of the involved material constants. Scatter of the properties of geomaterials renders parameter identification a challenging task. Herein, this problem is treated in an integrated manner. The first part of the book is devoted to methodical aspects: based on soft computing, an iterative parameter identification method is developed. Artificial neural networks are trained to approximate the underlying direct problem. Subsequently, a genetic algorithm solves the inverse problem. The method is applied to tunneling according to the New Austrian Tunneling Method and to ground improvement by means of jet-grouting. The second part of the book deals with conceptual aspects of parameter identification. To this end, the problem of rockfall protection of a gravel-buried steel pipeline is considered. It is highlighted that identification of material parameters and verification of a structural model must be based on two independent sets of experiments. The book will appeal to the scientific community as well as to practical engineers faced with the task of parameter identification.

About the Author

Bernhard Pichler is postdoctoral researcher at Vienna University of Technology (TU Wien), Austria, where he received his diploma in civil engineering (MSc, 1999) and his doctorate in engineering sciences (PhD, 2003). His research interests are related to mechanics of materials and structures, including modern methods such as soft computing.

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